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![Page 1: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/1.jpg)
The time to progression ratio for phase II trials of personalized medicine
Marc Buyse, ScD
IDDI, Louvain-la-Neuve, and
I-BioStat, Hasselt University, Belgium
![Page 2: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/2.jpg)
• Definition of TTPR
• TTPR in gastro-intestinal stromal tumors
• TTPR to design a trial in advanced colorectal cancer
• TTPR for trials of personalized medicine
• Tentative conclusions
Outline
![Page 3: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/3.jpg)
The TTP ratio (TTPR)
TTP1
First
progression
Second
progression
DeathStart of Rx
for advanced
disease
TTP2
TTPR = TTP2 / TTP1
Rx1 Rx2 Rx3 …
TTP3
![Page 4: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/4.jpg)
Use of TTPR
Cytostatics are not expected to induce tumor shrinkage, but it is hoped that they
can stabilize the tumor (delay progression).
For second-line therapies, the « time to progression ratio » (or « growth
modulation index »), is defined asTTPR = TTP2 / TTP1
Given the natural history of most tumors, TTPR generally does not exceed 1 (i.e.
TTP2 tends to be shorter than TTP1).
Von Hoff suggested that TTPR > 1.33 reflects activity of the second-line therapy.
Ref: Mick et al. Controlled Clinical Trials 21:343-59, 2000.
![Page 5: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/5.jpg)
TTPR-based designs : second-line treatment only
TTP1
First
progression,
entry on trial
Second
progression
Start of Rx
for advanced
disease
TTP2
Rx1 Rx2
![Page 6: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/6.jpg)
TTP1
First
progression
Second
progression
Start of Rx
for advanced
disease,
entry on trial
TTP2
Rx1 Rx2
TTPR-based designs : two lines of treatment
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Proportion of patients with TTPR > 1.33 after cross-over from 400 mg to 800 mg of imatinib daily, broken down by response to 400mg
Partial response 2/3 (67%)
Stable disease 13/36 (36%)
Progressive disease 12/72 (17%)
All patients 27/110 (25%)
Ref: Zalcberg et al, Eur J Cancer 41:1751-7, 2005.
TTPR when doubling dose of imatinib for progressing gastro-intestinal stromal tumors
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Ref: Debiec-Rychter et al, Eur J Cancer 42:1093-1103, 2006.
R
196 *181 *
800 mg imatinib daily400 mg imatinib daily
* Nr of patients with adequate DNA for KIT genotype analysis
Trial comparing two imatinib doses in patients with gastro-intestinal stromal tumors
![Page 9: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/9.jpg)
Ref: Debiec-Rychter et al, Eur J Cancer 42:1093-1103, 2006.
Cumulative incidence of response by KIT mutation
![Page 10: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/10.jpg)
Proportion of patients with TTPR > 1.25 after cross-over from 400 mg to 800 mg
Exon 11 mutation (N=248) 83%
Exon 9 mutation (N=58) 57%
Wild type (N=52) 7%
Ref: Debiec-Rychter et al, Eur J Cancer 42:1093-1103, 2006.
P= 0.0017P= 0.0012
TTPR after cross-over by KIT mutation
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Ref: Tournigand et al, J Clin Oncol 22:229-37, 2004.
R
111109
FOLFOX – FOLFIRIFOLFIRI – FOLFOX
Trial comparing two chemotherapy sequences in patients with advanced colorectal tumors
Primary endpoint = Time to second progression (TTP1 + TTP2)
Secondary endpoints = TTP1, TTP2, survival
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Distribution of TTPR in advanced colorectal cancer
TTP Ratio
Pro
babili
ty
TTP Ratio
0.0
0.2
0.4
0.6
0.8
1.0
0 0.4 0.8 2 3 4 5 6
Patients Events
147 137
![Page 13: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/13.jpg)
TTP Ratio
Pro
babili
ty
TTP Ratio
0.0
0.2
0.4
0.6
0.8
1.0
0 0.4 0.8 2 3 4 5 6
Patients Events
147 137
50%
0.5
Distribution of TTPR in advanced colorectal cancer
of the patients had a TTPR > 0.5
![Page 14: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/14.jpg)
TTP Ratio
Pro
babili
ty
TTP Ratio
0.0
0.2
0.4
0.6
0.8
1.0
0 0.4 0.8 2 3 4 5 6
Patients Events
147 137
33%
Distribution of TTPR in advanced colorectal cancer
of the patients had a TTPR > 0.8
0.8
![Page 15: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/15.jpg)
TTP Ratio
Pro
babili
ty
TTP Ratio
0.0
0.2
0.4
0.6
0.8
1.0
0 0.4 0.8 2 3 4 5 6
Patients Events
147 137
25%
1
Distribution of TTPR in advanced colorectal cancer
of the patients had a TTPR > 1
![Page 16: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/16.jpg)
TTP Ratio
Pro
babili
ty
TTP Ratio
0.0
0.2
0.4
0.6
0.8
1.0
0 0.4 0.8 2 3 4 5 6
Patients Events
147 137
20%
1.25
Distribution of TTPR in advanced colorectal cancer
of the patients had a TTPR > 1.25
![Page 17: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/17.jpg)
TTPR – test of hypothesis
A possible null hypothesis is:
H0: TTPR = TTP2 / TTP1 HR0
versus the alternative hypothesis:
HA: TTPR = TTP2 / TTP1 > HR0
![Page 18: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/18.jpg)
TTP Ratio
Pro
babili
ty
TTP Ratio
0.0
0.2
0.4
0.6
0.8
1.0
0 0.4 0.8 2 3 4 5 6
Patients Events
147 137
50%
0.75
Test of hypothesis in advanced colorectal cancer
H0 : TTPR ≤ 0.75
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A sign test statistic
For the ith patient, let ri be equal to
+1 if TTP2 > TTP1 HR0
–1 if TTP2 TTP1 HR0 and TTP2 is uncensored
The test statistic (equivalent to a sign test statistic)X = (² i ri) / ² i ri²has a ² distribution with 1 d.f.
Ref: Mick et al. Controlled Clinical Trials 21:343-59, 2000.
![Page 20: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/20.jpg)
A sign test statistic
Ref: Mick et al. Controlled Clinical Trials 21:343-59, 2000.
80%
85%
90%
HR0 = 0.7 = 0.05Correlation = 0.7
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A sign test statistic
Ref: Mick et al. Controlled Clinical Trials 21:343-59, 2000.
HR0 = 0.7 = 0.05Correlation = 0.5
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A sign test statistic
Ref: Mick et al. Controlled Clinical Trials 21:343-59, 2000.
HR0 = 0.7 = 0.05Correlation = 0.3
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TTP1 vs. TTP2 in advanced colorectal cancer
R² = 0.03
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TTP1 vs. TTP2 in advanced colorectal cancer
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Statistics for correlated survival times
In the absence of censoring, TTP1 and TTP2 can be compared
using a paired t-test or a non-parametric test for paired
observations.
If TTP2 is censored, TTP1 and TTP2 are paired survival times. The
ordinary rank test statistics (e.g. logrank or Gehan-Wilcoxon)
can be used with variance corrected to account for the correlation between TTP1 and TTP2.
Ref: Jung, Lifetime Data Analysis 5:67-79, 1999.
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TTPR – another test of hypothesis
Let p be the proportion of patients for whom TTPR > HR0.
A possible null hypothesis is:
H0: p p0
versus the alternative hypothesis:
HA: p > p0
which leads to Flemings’ one-stage or Simon’ two-stage designs.
![Page 27: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/27.jpg)
TTP Ratio
Pro
babili
ty
TTP Ratio
0.0
0.2
0.4
0.6
0.8
1.0
0 0.4 0.8 2 3 4 5 6
Patients Events
147 137
22%
1.33
Tests of hypothesis in advanced colorectal cancer
H0 : p0 ≤ 22%
![Page 28: The time to progression ratio for phase II trials of personalized medicine Marc Buyse, ScD IDDI, Louvain-la-Neuve, and I-BioStat, Hasselt University, Belgium.](https://reader031.fdocuments.us/reader031/viewer/2022032206/56649ec85503460f94bd540e/html5/thumbnails/28.jpg)
Trial of molecular profiling
TTP1
Last
progression,
entry on trial
Progression
on targeted
therapy
TTP2
At least two prior therapies for
advanced disease, no further therapy
available
Molecular profiling of tumor biopsy by IHC, FISH or micro-
array to identify target
Ref: Von Hoff, AACR 100th Annual Meeting, Denver, CO, April 18-22, 2009.
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Trial designed to test p0 (proportion of patients with TTPR > 1.3):
H0: p p0 = 15%
Primary analysis: proportion of patients with TTPR > 1.3:
18 / 66 (27%, 95% C.I. 17% - 38%, P = 0.007)
Breast 8 / 18 (44%)Colorectal 4 / 11 (36%)Ovarian 1 / 5 (20%)Others 5 / 32 (16%)
Trial of molecular profiling
Ref: Von Hoff, AACR 100th Annual Meeting, Denver, CO, April 18-22, 2009.
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Promising results, and amongst the 18 patients with TTPR > 1.3,
none would have received same drug through plysician’s choice.
However,
• Is TTPR > 1.3 good enough?
• Trial was not randomized, therefore no evidence that physician’s
choice could have yielded similar results
• Only 66 patients of 106 could have molecular profiling
Trial of molecular profiling
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Trial designs using TTPR – pros and cons
+ Test time to progression rather than response; hence well suited to test
cytostatic agents
+ Patients serve as their own control, a desirable feature to control
between-patient variability
+ Efficient if substantial correlation between TTP1 and TTP2
- Choice of appropriate value for HR0
- TTP1 difficult to estimate retrospectively, and potentially biased
downwards if standard first-line treatment included in design and new
agent is promising
- Inefficient if poor correlation between TTP1 and TTP2